基于近红外光谱技术的茶油原产地快速鉴别

为研究茶油原产地溯源问题,维护其市场秩序,促进公平竞争。该文利用近红外光谱技术采集湖南、江西、安徽和浙江4个不同产地茶油的光谱数据,并运用 Savitzky-Golay 平滑（savitzky-golay, SG）、多元散射校正（multiplicative scatter correction, MSC）、一阶导数（first derivation, FD）和矢量归一化（vector normalization, VN）等4种方法对其进行预处理。采用偏最小二乘法（partial least squares, PLS）提取最佳主成分,构建 PLS 回归模型;同时,采用主成分分析（principal component analysis, PCA）和 PLS 算法提取最佳主成分,作为 BP 人工神经网络（BP artificial neural network, BPANN）输入变量,构建 PCA-BPANN 和 PLS-BPANN 模型。以验证集相关系数 RP 和验证集均方根误差 RMSEP 为模型的评价指标,分别优选最佳 PLS 和 BPANN 模型。试验结果表明,SG-PLS-DA 和 SG-PLS-BPANN-DA 模型对未知样本的整体分类准确率均大于90%。其中,SG-PLS-BPANN-DA 的鉴别效果优于前者,其建模集相关系数 RC、均方根误差 RMSEC 分别为0.974、0.170,验证集相关系数 RP、均方根误差 RMSEP 分别为0.972、0.172,对上述两类样本集的总体分类准确率分别为98.15%、95.83%,该模型能较准确鉴别茶油原产地。研究结果可为快速辨别茶油原产地提供参考。     

赣南脐橙园土壤全磷和全钾近红外光谱检测

为建立一种能够同时快速检测土壤全磷和全钾的定量估计模型,该文采用近红外漫反射技术对赣南脐橙果园的土壤进行研究,对56个土样风干、过筛,然后进行光谱采集和化学分析。光谱经过Savitzky-Golay平滑后再用一阶微分变换的方法进行预处理,分别应用偏最小二乘回归（partial least square regress PLS）、主成分回归（principal component regression PCR）和最小二乘支持向量机（least squares support vector machine LS-SVM）3种方法,在4 000～7 500 cm-1波数范围内,建立赣南脐橙果园土壤全磷和全钾快速定量检测模型。结果发现在建立土壤全磷模型时,PLS和PCR的预测模型效果均不理想,但LS-SVM建立的模型较为理想, 其预测相关系数（correlation coefficient of prediction RP）为0.884,预测集均方根误差（the root mean square error of prediction RMSEP）为0.341,预测相对分析误差（residual predictive deviation RPD）为2.59。在建立土壤全钾模型时,PLS、PCR和LS-SVM 建立3种模型效果均理想,其中以LS-SVM模型最理想,其预测相关系数（RP）为0.971,预测集均方根误差（RMSEP）为0.714,预测相对分析误差（RPD）为5.12。研究表明,采用LS-SVM建立的土壤全磷和全钾模型对实现土壤全磷和全钾含量快速检测具有可行性。     

基于支持向量机回归算法的小麦叶面积指数高光谱遥感反演

为给小麦田间管理提供基础数据,利用高光谱指数实现了小麦冠层叶面积指数值的估测。在21种高光谱指数中筛选出了与LAI值相关性最强的指数OSAVI,建立了小麦LAI值反演的最小二乘支持向量回归（LS-SVR）模型。分析表明,模型校正集决定系数（C-R2）与预测集决定系数（P-R2）分别达0.851与0.848,可实现小麦LAI值的精确反演,且对LAI值较高与较低的样本均具备良好的预测能力,可有效避免冠层郁闭度等因素对估测结果的影响。利用LS-SVR模型与OMIS影像实现了小麦LAI遥感专题图的制作,其填图结果与地面实测值拟合模型R2达0.774,RMSE仅为0.476,2组数据具有较高的相似度。结果表明：可利用高光谱指数实现小麦冠层LAI值信息的准确获取,且OSAVI系反演建模的优选指数,LS-SVR为建模的优选算法。该研究可为小麦等农作物的长势评估提供参考。     

基于可见-近红外光谱识别氧乐果污染的脐橙

该文对喷施过不同浓度氧乐果农药的脐橙样品采集可见-近红外光谱进行识别。采用多元散射校正（MSC）、标准正交变量变换（SNV）、一阶导数（FD）和二阶导数（SD）4种不同光谱预处理方法时,分别选取430～1 000、1 000～1 800和430～1 800 nm 3种波谱范围建立偏最小二乘法（PLS）农药污染预测模型。比较实验结果表明：波谱范围取430～1 000 nm,采用一阶导数的预处理方法时应用建立的PLS预测模型最优,其验证组脐橙表面氧乐果污染程度的实际类别与预测类别的相关系数Rpred为0.9817,预测样本均方根误差RMSEP是0.1564。     

基于dbiPLS-SPA变量筛选的固态发酵湿度近红外光谱检测

为了提高基于近红外光谱技术的固态发酵关键过程参数——湿度快速检测的精度和稳定性,研究采用动态反向区间偏最小二乘（dbiPLS）法结合连续投影算法（SPA）进行最佳光谱子区间和特征组合变量的筛选,通过交互验证法确定偏最小二乘（PLS）模型的主成分因子数,并以预测均方根误差（RMSEP）和相关系数（Rp）作为模型的评价标准。试验结果显示,最佳dbiPLS-SPA模型筛选的组合变量个数为8,其RMSEP和Rp分别为1.1795%（质量分数）和0.9430。试验结果表明,dbiPLS-SPA是一个有效的波长组合变量筛选方法,可简化模型结构、增强模型精度和稳健性。     

结合SPA和PLS法提高冬小麦冠层全氮高光谱估算的精确度

【目的】 冠层高光谱全波段信息可以在小麦拔节期快速无损地估算叶片的氮含量。本研究结合连续投影算法 (SPA) 和偏最小二乘 (PLS) 技术,筛选了冬小麦拔节期冠层光谱对叶片氮含量的敏感特征波段,以期为冬小麦关键生育期氮素含量的遥感估算提供理论依据和技术支持。 【方法】 以陕西关中地区2015—2016年冬小麦小区试验为基础,基于连续投影算法 (SPA) 提取冬小麦叶片全氮含量的冠层光谱敏感波段,并结合偏最小二乘 (PLS) 回归法建立基于敏感特征波段的冬小麦拔节期叶片氮含量估算模型。 【结果】 SPA算法从冬小麦338～2510 nm的冠层光谱中优选出了1985 nm、2474 nm、1751 nm、1916 nm、2507 nm、1955 nm、2465 nm和344 nm共计8个叶片全氮含量的敏感特征波段,波段数目下降了98.9%,有效降低了光谱信息的冗余;基于敏感特征波段构建的叶片氮含量偏最小二乘回归模型的决定系数和均方根误差分别为0.82和0.28,模型验证方程的决定系数和均方根误差分别为0.84和0.21,模型的相对预测偏差大于2,具有较高的精度和良好的预测能力。 【结论】 与常用植被指数的叶片氮含量估算模型相比,连续投影算法 (SPA) 结合偏最小二乘 (PLS) 方法的叶片氮含量估算精度更高,稳定性更强,可以作为冬小麦拔节期叶片氮含量的高光谱估算方法。      

基于形态小波的烟草尼古丁含量近红外光谱检测

为了提高烟草尼古丁含量的测定精度,该文将基于形态小波的近红外光谱去噪方法应用于烟草的一阶导数近红外光谱数据处理中,给出了方法的原理和步骤,评估了该方法的去噪效果;用处理后的光谱计算了烟草中的尼古丁含量,并与小波变换方法的处理结果进行了对比分析。结果表明:形态小波作为一种非线性小波,兼顾数学形态学的形态特征和小波的多分辨率特性,在去噪的同时具有良好的光谱细节保留能力,能有效地保留光谱的有用信息。与小波软阈值方法相比,检测结果中预测集的决定系数r2由0.9877提高到了0.9931,其均方根误差RMSEP由0.0539降到了0.0492。研究结果为提高利用近红外光谱测定烟草尼古丁含量的分析精度和模型的稳健性提供了参考。     

基于可见/短波近红外光谱检测结球甘蓝维生素C含量

维生素C是人类必需的营养素,结球甘蓝作为主要蔬菜品种之一富含维生素C。该试验利用可见/短波近红外光谱分析技术,开展结球甘蓝维生素C含量的快速检测方法研究。首先通过Kennard-Stone(K-S)法将样本按照6:1划分为校正集(60个样本)和验证集(11个样本),分别利用反射率和吸光度的原始光谱、一阶导数(first derivative,FD)和二阶导数(second derivative,SD)光谱预处理后对应的6个数据集,建立偏最小二乘(partial least squares,PLS)回归模型。针对最优光谱预处理方法处理后的光谱,设置5个置信水平(0.95,0.975,0.99,0.995,0.999 5),利用逐步回归(stepwise regression,SR)进行建模波长选择,以各置信水平对应的各组优选波长进行多元线性回归建模。结果表明:利用FD光谱预处理方法可以提高PLS回归模型精度,验正集R~2从处理前的0.85提高到0.96,是该研究的最佳光谱数据预处理方法。利用降维后的7个主成分继续建立PLS回归模型,校正集R~2为0.92,交互验证均方根误差(root mean squared error of cross validation,RMSECV)为0.658 0 mg/100 g,验证集R~2为0.96,预测均方根误差(root mean squared error of prediction,RMSEP)为1.620 4 mg/100 g。PLS回归模型预测维生素C含量,检测精度高,可以代替传统检测方法,为结球甘蓝的品质评定提供一种新的途径。进一步分别应用8,6,5个优选波长进行多元线性回归建模,校正集R~2平均为0.78,RMSECV平均为3.760 9 mg/100 g,验证集R~2平均为0.73,RMSEP平均为2.879 2 mg/100 g,虽然R~2有所降低,但波长点少,利用较少的波长变量来预测维生素C含量,降低模型复杂度,可以为便携式检测仪器开发提供技术支持,以提高结球甘蓝内部品质评定作业效率。     

基于小波特征和冬小麦生理参数的土壤水分高光谱模型优化

土壤水分是影响作物生长的关键因子,在精准灌溉中估算土壤含水率有重要意义,结合作物生理参数与叶片光谱特性,能够在一定程度上增强土壤含水率遥感监测模型的稳定性。为了提高土壤含水率遥感监测模型在冬小麦多种物候期的适用性以及迁移能力,该研究通过连续小波变换增强光谱对叶片不同生化生理指标的响应后,通过变量投影重要性分析方法对冬小麦叶片含水率、叶绿素、叶面积指数敏感的光谱特征进行特征筛选,结合偏最小二乘回归构建土壤含水率模型,并与土壤含水率所选特征建立的监测模型在独立年份数据与不同传感器之间进行比较。结果表明,土壤含水率变化显著改变了冬小麦叶绿素以及叶面积,进而影响了小麦冠层光谱,小尺度小波变换可以增强冬小麦冠层光谱和土壤含水率的相关性（相关系数由0.46提升至0.61）。综合基于地面非成像数据集和机载成像数据集进行的模型验证结果,基于叶绿素所选小波特征在2021年高光谱非成像数据集和2022年机载成像数据集构建的土壤含水率监测模型表现最优,其中基于1尺度叶绿素小波特征构建的模型效果最好,其在独立非成像数据集验证中决定系数为0.541,均方根误差为2.42%,在成像数据集验证中决定系数为0.687,均方根误差为1.92%。因此,通过冬小麦叶片叶绿素与连续小波变换选取的光谱特征进行土壤含水率监测的适用性更强,可以进一步提高土壤含水率监测模型的准确性及稳定性。     

近红外光谱变量筛选提高西瓜糖度预测模型精度

水果的内部品质是水果分级、保鲜及存储的一项重要指标,利用近红外光谱技术对西瓜内部品质进行快速无损检测研究有着非常重要的意义。为了研究变量筛选方法对西瓜糖度预测模型精度的影响,该文以麒麟瓜为研究对象,利用近红外漫透射光谱技术对麒麟瓜可溶性固形物含量（SSC）进行检测,采用偏最小二乘回归（PLSR）,多元线性回归（MLR）和主成分回归（PCR）建立麒麟瓜可溶性固形物数学模型,并探讨等间隔平均光谱和等间隔抽取光谱变量筛选结合连续投影算法（SPA）对预测模型精度的影响。研究结果表明：光谱经等间隔抽取（间隔5,115个变量）经归一化预处理,结合SPA优选出6个波长建立的PLSR预测模型的相关系数（rpre）为0.828、校正均方根误差（RMSEC）为0.589、预测均方根误差（RMSEP）为0.611。该模型预测效果相对较优,建模时间短,提高了模型的预测能力和预测精度。该研究为西瓜内部品质的在线无损检测提供研究基础。     

Silicon Effect on Nutrient Acquisition of Peanut (Arachis hypogaea L.) Under Aluminum Stress

Aluminum (Al) toxicity represents one of the main yield-limiting factors for crops in acid soils. Silicon (Si) is known to increase tolerance in higher plants. This study was conducted to determine whether treatment with Si could improve nutrient uptake by peanut under Al stress. Peanut (Arachis hypogaea L. cv Zhonghua 4) was raised with or without Si (1.5 mM) in the growth chamber under 0 and toxic Al (0.3 mM) levels. Aluminum stress significantly decreased the root- and total-dry weight by 52.4% and 32.0%, respectively. The content of nitrogen (N), phosphorus (P), potassium (K), calcium (Ca), and magnesium (Mg) was significantly decreased, but that of Al increased markedly in shoots and roots after Al exposure at seedling, flower-needle, and pod-setting stage. Silicon alleviates Al toxicity in peanut plants in relation to Al distribution and allocation of tissue P, K, Ca, and Mg by favoring the partitioning of dry mass to roots.     

强度耕作对^137Cs、^210Pbex和有机质剖面分布的影响

很少有关于直接测定强度耕作侵蚀引起土壤退化过程的报道。我们的目的是确定应用137Cs和210Pbex直接定量评价耕作侵蚀对土壤有机质(SOM)坡面运移影响的可能性。我们在黄土高原陡坡耕地上进行了50次犁耕活动,并将与其相临的另一块陡坡耕地作为对照。在对照坡地不同坡位,137Cs浓度均匀分布于上部0～30cm土层,而210Pbex浓度在坡上部和坡中部随土层深度增加呈现线性递减,在坡下部呈指数函数递减。0～30cm土层中土壤有机质含量显著大于30cm深度以下土层,并在坡中部和坡下部呈现与210Pbex类似的土壤剖面分布特征。与对照坡地比较,50次犁耕活动导致坡上部、坡中部0～45cm土层的SOM含量分别降低了38%和47%,坡下部0～100cm土层中的SOM含量却提高了18%。坡上部土壤剖面中137Cs浓度的加权平均值从1.48Bq/kg降低到0.29Bq/kg,坡中部从2.53Bq/kg减少到0.33Bq/kg,坡下部从1.48Bq/kg提高到2.81Bq/kg。210Pbex浓度的剖面加权平均值在坡上部从27.71Bq/kg下降到6.15Bq/kg,在坡中部和坡下部分别从35.46Bq/kg和25.53Bq/kg降低到1.57Bq/kg和19.40Bq/kg。137Cs和210Pbex的剖面分布与SOM在p<0.001水平呈显著相关,相关系数R2值在对照坡地为0.81～0.86,在犁耕实验坡地为0.86～0.91。实验结果表明,环境放射性核素137Cs和210Pbex在黄     

Irrigation Module and Sowing Date Affect Seed Cotton Yield,Quality, Productivity Indices,and Economics of Cotton in North-western India

ABSTRACT

Delayed sowing and imprecise application of irrigation water to cotton has been the major hurdle in sustaining cotton yield in north-western India. Therefore, studies were initiated to ascertain the impact of heavy or normal level of presowing irrigation (PSI), scheduling time of first postsowing irrigation (POSI) under two sowing dates (SDs) on cotton arranged in a split block design replicated thrice. PSI_h (100 mm) recorded 23.2% higher seed cotton yield over PSI_n (70 mm) owing to better yield attributes and higher stand. First POSI at 4 weeks after sowing (WAS) resulted the highest yield (3072 kg ha^?1), while one at 6 WAS (POSI₆) recorded least due to poor population and reduced yield attributes. Water productivity under POSI₆ was lesser by 29.1%, 25.2%, and 16.2% as compared to POSI₃, POSI₄, and POSI₅, respectively. April sown crop out yielded the May sown cotton crop by 939 kg ha^?1 due to better yield attributes. Nitrogen factor productivity (NFP) among SD remained higher by 23.3% for April as compared to May sowing. PSI_h exhibited better NFP over PSI_n. POSI₆ recorded least NFP by 24.4%, 28.5%, and 16.3% as compared to POSI₃, POSI₄, and POSI₅, respectively and was indicative of relatively poor utilization of N under delayed schedules. Therefore, planting in April after heavy PSI and scheduling first POSI at 4 WAS is best strategy for sustaining cotton yield and maximizing farmer profitability.     

Trace Metal Contamination During Grinding of Plant Samples

Inductively coupled plasma-mass spectroscopic (ICP-MS) analysis of leaves from 22 cabbage crops in the Sa P? and B?c Hà districts of Láo Cai Province, North-Western Vi?t Nam, revealed unexpectedly high concentrations of chromium (Cr) and nickel (Ni). The concentrations were strongly linearly related (r² = 0.94), indicating sample contamination during grinding through a stainless-steel hammer mill. We tested this hypothesis in two ways. First, brown rice ground through the same mill was contaminated not only by Cr and Ni, but also cobalt (Co), iron (Fe) and molybdenum (Mo). Second, scanning electron microscopy/energy dispersive analysis of x-rays (SEM/EDS) of the ground samples revealed small fragments with co-located Fe, Cr and Ni, consistent with stainless steel wear fragments. Other grinders may perform differently and we suggest that quality assurance protocols for trace metal analysis of plants should include testing for grinder wear metals. Lastly, brown rice appears to be convenient for investigating contamination of plant tissues during grinding.     

Predicting the Classes and Distribution of Salt-Affected Soils in Northwest Libya

Sodicity and salinity can adversely affect soil structure and are common constraints to plant growth in arid regions. Current remote sensing techniques cannot distinguish between the various classes of salt-affected soils. Field and laboratory measurements of salt-affected soils are time-consuming and expensive. Mapping of the salt-affected soils can be used in soil conservation planning to identify regions with different degrees of limitations. There is a need to use existing field and laboratory measurements to create maps of classes of salt-affected soils. The objectives of this study are to classify salt-affected soils, use existing field data to interpolate and validate geospatial predictions of the classes of salt-affected soils using Geographic Information Systems (GIS), and create maps showing the different classes and distribution of salt-affected soils. The classification framework for salt-affected soils is based on electrical conductivity (ECe), soil pH and the sodium adsorption ratio (SAR), and provides four degrees of limitations to salt-affected soils: slight (normal soils), moderate (saline soils), severe (sodic soils), and extreme (saline-sodic soils). Spatial interpolation of the field data from northwestern Libya was verified by cross-validation, and maps of the salt-affected soils in the region were created. The majority of soils in this region of Libya are normal (slight degree of limitation). Twenty percent of the topsoil is saline-sodic (extreme degree of limitation). Land use recommendations and rehabilitation strategies can be developed from such maps of salt-affected soil classes. The methodology followed in this study can be applied to other arid regions around the world, particularly in developing countries where budgetary constraints limit detailed field and laboratory measurements of sodicity and salinity.     

模拟降雨条件下污染土壤中重金属元素径流迁移特征

探明污染土壤中重金属元素随地表径流迁移特征,对于防控重金属污染物的迁移扩散具有重要意义。通过室内模拟降雨试验,研究不同降雨强度下(55,100,120mm/h)污染土壤中Cd、Pb和Cr随地表径流迁移的特征。结果表明:径流中3种重金属元素总量在产流的前20min内逐渐降低,随后趋于稳定;产流初期(产流10min内)颗粒态重金属占径流重金属总量的比例均在80%以上;随产流时间延长,颗粒态Cd和Cr对径流重金属的贡献率快速降低,其颗粒态/溶解态的比值范围分别为47.0～0.4和12.9～0.4,而Pb则主要以颗粒态的形式存在,溶解态Pb对其随径流迁移的贡献率可忽略不计;随降雨强度增大,径流中总Cd和Pb含量显著降低,而径流中总Cr含量以及溶解态重金属含量无明显变化规律。     

外源胡敏酸对土壤有机质组分变化的影响及其与茶树铅有效性的关系

盆栽试验分析了胡敏酸输入土壤6个月后茶树根际和非根际土壤有机质SOM及其组分,包括水溶性物质WSS、富啡酸FA、胡敏酸HA以及土壤微生物生物量SMB的变化,并对不同土壤有机质组分碳含量和茶树不同组织铅含量作了相关性分析。外源胡敏酸设置3个浓度水平（0、300、600 mg kg-1）,铅设置2个浓度水平（0、300 mg kg-1）,试验共有6个处理。茶苗置于温室培养,6个月后分新叶、老叶、新茎、老茎、根收获。结果表明：根际并非总是富含有机质,未加铅处理根际SOM含量低于非根际;而加铅处理根际SOM含量高于非根际。HA加入土壤能够显著增加根际和非根际SOM和SMB的含量,但是加铅处理和不加铅处理增加幅度不同。高浓度HA显著增加了根际FA的含量,可能是HA部分裂解所致。非根际有机质各组分与茶树铅含量无显著相关关系;根际SOM、HA和茶树不同组织铅含量没有显著相关关系。根际WSS、FA与茶树嫩叶、老叶、嫩茎、老茎以及根部铅含量均存在显著或极显著正相关关系;而根际SMB与茶树各个组织铅含量存在显著负相关关系。总之,胡敏酸施入土壤改变了土壤有机质及其各个组分的含量,而根际某些土壤有机质组分的改变又显著影响了茶树不同组织铅的吸收和分布。     

华北平原灌溉农田的土壤水量平衡和水分利用效率

华北平原农业面临的主要问题是水资源短缺,地下水位持续下降。通过一维土壤水量平衡模型模拟了华北平原不同灌溉方式下农田耗水量和土壤水分深层渗漏的变化,并分析了作物的产量和水分利用效率。结果显示在正常的灌溉条件下,冬小麦季地下水的采补差额超过了200mm,某生育期一定程度的水分亏缺(返青期、拔节期或灌浆期)能明显减少冬小麦的耗水量,但没有明显减少作物的产量。因此,在一定程度上减少灌溉是可行的,但仍不能达到地下水资源的采补平衡。从长远来看,华北平原维持可持续的地下水灌溉开采,应减少冬小麦的种植面积、增加低耗水经济作物的比例。     

Effects of humic acid on remediation of the nutritional deficiency of gerbera in hydroponic culture

Information is scant on the effect of humic acid (HA) on physiological, antioxidant and photosynthesis attributes of gerbera plants undergoing nutrient deficiency in culture solution. Gerbera plants cv. Malibu were grown in a factorial experiment based on a completely randomized design with 3 replications, using 3 different nutrient solutions [complete nutrient solution (NSc), 25% NSc (NS1), and 50% NSc (NS2)] treated with 2 levels of humic acid [0 (HA0) and 500 mg/l (HA1)].The interaction effect of HA and NS showed that HA improved the flower number in NSc, the transpiration in NS1+HA1, photosynthesis rate in NSc+HA1, stomatal conductance (gs) in NS2, mesophyll conductance of leaves in all NS levels and photosynthetic water use efficiency in NSc+HA1. The interaction effect of nutrient solution and HA on antioxidant activity was inconclusive, malondialdehyde content was the highest in NS2 and the lowest in NS1+HA1. The peroxidase activity increased in complete nutrient solution with and without HA and there were no differences among other treatments. Superoxide dismutase activity increased in NS1 and complete nutrient solution with HA and reached the highest in NSc. Humic acid was more effective in nutrient uptake, i.e., nitrogen, phosphorus, potassium, calcium, zinc, and iron (N, P, K, Ca, Zn, and Fe) in complete nutrient solution compared to NS1 and NS2. Conclusively, humic acid can compensate the nutrient deficiency stress of the culture solution in regards to protein synthesis, photosynthesis attributes regardless of the nutrient uptake of gerbera.     

(A)ngstr(o)m-Prescott系数选取对参考作物蒸散量的影响-以黄河中游站点为例

利用黄河中游三个站点近50a的气象资料,研究了(A)ngstr(o)m-Prescott系数不同取值对参考作物蒸散量的影响.结果显示,当ngstrm-Prescott系数as和bs分别相差56%和93%时,引起的ET0差异月值在0.6%～26.2%,年值在173.1～197.4mm(18.2%～21.9%).ngstrm-Prescott系数不同取值对ET0的影响程度随地点而变化,即随海拔和日照时数的增加,对ET0的影响程度相应增大.因此在高海拔和高辐射地区,应对ngstrm-Prescott系数进行校正.尽管FAO56 PM推荐的(A)ngstr(o)m-Prescott系数在世界各地广泛应用,但依据本文结果尚不能确定其在中国能否直接使用.随着辐射数据的不断积累,有必要对这些系数进一步研究、验证和校正.